Building real-time spatial platforms, applied LLM workflows, and high-concurrency full-stack applications in Qatar.
Four products spanning spatial coordination, property infrastructure, regulatory AI, and industrial intelligence. Each is grounded in measurable engineering outcomes.
A map-based car community platform for live meetup discovery, verified groups, and real-time convoy coordination. Built for resilient multi-device use with proximity checks, private permissions, and leader heartbeat expiry.
A production-minded marketplace for Qatar property listings, live viewing bookings, seller dashboards, and membership-gated inventory. Security work included JWT role management, audited RLS policies, and database-level double-booking constraints.
A fintech regulatory compliance platform that converts hard-coded frameworks into an interactive readiness evaluator. The system achieved 87.5% precision by integrating GPT-4o mini with real-time multilingual dashboards.
A multivariate anomaly-detection pipeline for high-frequency industrial sensor data using Isolation Forest and StandardScaler. Its dashboard surfaces pressure curves, anomaly scores, and risk zones for faster engineering decisions.
A foundation in systems, data, and product engineering, sharpened through live builds, model evaluation, research, and competitive AI programs.
Founder & Developer
Building and testing a real-time, map-based car community product from architecture through multi-device validation. Owns authentication, spatial data modelling, convoy coordination, and launch readiness.
AI & Development Lead, Top 3 Contestant
Led AI and full-stack delivery of a fintech regulatory compliance platform. Presented the finalist product to judges from Ooredoo Qatar, QDB, and Snoonu.
AI Data & Evaluation Engineer
Creates labelled datasets and structured evaluations for LLM reasoning and decision-making tasks. Performs QA for safety, accuracy, behavioural consistency, and multi-step logical alignment.
Intern, AI Research
Integrated LLM-powered summarization and semantic search into the Pearl Knowledge System; evaluated retrieval pipelines and prototyped applied NLP for enterprise knowledge management.
AI Model Evaluation Engineer
Evaluates LLM-generated code in Python, Java, and C++ for correctness, efficiency, and logical consistency; designs test workflows and contributes insights for alignment.
B.Sc. (Hons.) in Business Management & Information Systems, expected May 2027 · Doha, Qatar
Accepted participant in a three-month data-science program covering Python, NumPy, Pandas, data cleaning, Matplotlib, SQL, business applications of data science, machine learning, model evaluation, and time-series analysis.
Completed 240+ hours of structured training across machine learning, deep learning, NLP, and cloud-based AI deployment; built a customer-complaint classification capstone with 92%+ validation accuracy.
Selected member with access to Aerial CUDA-Accelerated RAN, Aerial Omniverse Digital Twin, and NVIDIA NGC cloud infrastructure.
Cisco certification.
Cisco certification.
Professional Certificate, Coursera.
SQL, ER modelling, data warehousing, spatial data management, data analysis, and dashboards.
Python, Java, data structures, algorithms, recursion, modular programming, and scientific computing.
I'm interested in applied AI, real-time systems, and product work where technical depth creates a tangible edge.